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- W2375515326 abstract "In this paper,the EM algorithm is employed as a basis to study the Poisson Log-normal models by treating them as a mixed Poisson regression with the weights from the Log-normal distributions.Diagnostic and local influence methods are then adopted for Poisson Log-normal regression models.Several diagnostic measurements such as generalized Cook distance,Q distance and normal curvature in three perturbation models are obtained respectively in both case-deletion model and local influence analysis based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm." @default.
- W2375515326 created "2016-06-24" @default.
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- W2375515326 date "2013-01-01" @default.
- W2375515326 modified "2023-09-28" @default.
- W2375515326 title "Influence Assessment for Poisson Log-normal Regression Models" @default.
- W2375515326 hasPublicationYear "2013" @default.
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